distilhubert-finetuned-zindi_techcabal

DanielTobi0/distilhubert-finetuned-zindi_techcabal

distilhubert-finetuned-zindi_techcabal is a machine learning model from DanielTobi0. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: hubert
Access: Public
Created: Sep 2, 2024
Updated: Sep 2, 2024
SHA: e0bd6e73

Base models

ntu-spml/distilhubert

Model card

From the Hugging Face model README

distilhubert-finetuned-zindi_techcabal

This model is a fine-tuned version of ntu-spml/distilhubert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7427
Accuracy: 0.9064

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6794	1.0	38	1.4849	0.7303
0.9882	2.0	76	0.8901	0.8483
0.8177	3.0	114	0.7427	0.9064

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: hubert
License: apache-2.0
Created: Sep 2, 2024
Updated: Sep 2, 2024